基于NSGA-II的钛合金纵扭超声铣削多目标参数优化

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振动与冲击 ›› 2020, Vol. 39 ›› Issue (21) : 241-249.

论文

牛赢，焦锋，赵波，王晓博

作者信息 +

Multi-objective parameter optimization for ultrasonic milling of titanium alloy in longitudinal and torsional directions based on NSGA-II

NIU Ying, JIAO Feng, ZHAO Bo, Wang Xiaobo

Author information +

文章历史 +

摘要

针对钛合金等航空难加工材料加工成本高、效率低、质量差等问题，提出了将纵扭超声振动复合到铣削加工中，采用带精英策略的快速非支配排序遗传算法（NSGA-II）对加工和超声参数进行多目标优化。基于正交试验，分别建立加工残余应力、表面粗糙度、表面硬度、刀具寿命预测模型，并对预测模型进行验证；在此基础上，为获取较大的残余压应力和较高的加工效率，建立多目标优化模型I；为获得较大的残余压应力和表面硬度，建立模型II；为获得较低表面粗糙度和较大的表面残余压应力，建立模型III；为获得较小的表面粗糙度和较高的加工效率，建立模型IV；为获得较低表面粗糙度和较高的刀具使用寿命，建立模型V；为获得较低的表面粗糙度和表面硬度，建立模型VI；通过试验对优化模型和结果进行验证，结果表明，所建立的优化模型能够以较高的精度为不同的工程应用场合提供多种参数优化方案。

Abstract

Aiming at problems of high cost, low efficiency and poor quality appearing in processing titanium alloy, etc.aeronautical materials, the longitudinal-torsional ultrasonic vibration was combined with milling, and the nondominated sorting genetic algorithm II (NSGA-II) was proposed to do multi-objective optimization for processing and ultrasonic parameters.Firstly, based on orthogonal tests, the prediction models for machining induced residual stress, surface roughness (SR), surface hardness (SH) and tool life were established and validated, respectively.Then, to get larger residual compressive stress (RCS) and higher processing efficiency, the multi-objective optimization model I was built.To get larger RCS and SH, the model II was built.To get lower SR and larger surface RCS, the model III was built.To get smaller SR and higher processing efficiency, the model IV was built.To get lower SR and higher tool life, the model V was built.To get lower SR and SH, the model VI was built.Finally,tests were conducted to verify these optimization models and their results.Results showed that the established optimization models based on NSGA-II can provide various parameter optimization schemes with higher accuracy for different engineering applications.

导出引用

牛赢，焦锋，赵波，王晓博. 基于NSGA-II的钛合金纵扭超声铣削多目标参数优化[J]. 振动与冲击, 2020, 39(21): 241-249

NIU Ying, JIAO Feng, ZHAO Bo, Wang Xiaobo. Multi-objective parameter optimization for ultrasonic milling of titanium alloy in longitudinal and torsional directions based on NSGA-II[J]. Journal of Vibration and Shock, 2020, 39(21): 241-249

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